Data Envelopment Analysis for Managerial Control and Diagnosis
Name
MIT_CISR_WP_157_Data_Envelopment_Analysis_for_Managerial_Control_and_Diagnosis_Epstein_Henderson.pdf
Size
1.27 MB
Format
Adobe PDF
Checksum (MD5)
ad9486bd63a2067525d2e61235dd2f97
Author(s)
Epstein, Michael
Henderson, John
Date Issued
May 1, 1987
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Epstein, Michael and John Henderson. “Data Envelopment Analysis for Managerial Control and Diagnosis.” Working paper 157, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 1987. https://dspace.mit.edu/handle/1721.1/175290.
Series/Report no.
MIT Sloan School of Management Working Paper 1891-87
CISR Working Paper 157
Abstract
Data envelopment analysis (DEA) is a linear programming-based technique for the measurement of productive efficiency. It features the ability to convert multiple input and output measures into a single comprehensive measure of performance. Early reported applications involved integrating DEA into the planning and control process to aid performance measurement and to support resource allocation decisions. Recently DEA has found application in a more exploratory, diagnostic capacity, to help with the identification of significant relationships among variables and of important trends.
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